Benefit Sharing of Power Transactions in Distributed Energy Systems with Multiple Participants

Jun Dong, Xihao Dou, Dongran Liu, Aruhan Bao, Dongxue Wang (), Yunzhou Zhang and Peng Jiang
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Jun Dong: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Xihao Dou: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Dongran Liu: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Aruhan Bao: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Dongxue Wang: School of Economics and Management, Wuhan University, Wuhan 430072, China
Yunzhou Zhang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Peng Jiang: School of Economics and Management, North China Electric Power University, Beijing 102206, China

Sustainability, 2023, vol. 15, issue 11, 1-23

Abstract: With the rapid advancement of China’s power system reform, various provinces have progressively recognized distributed energy systems as autonomous market participants, and their operational paradigm has transitioned from centralized procurement and sales to market competition. This paradigm shift has presented novel demands for the operational efficacy of distributed energy systems within the power market. Presently, China’s distributed energy systems are predominantly managed through collaborative efforts among multiple enterprises. Consequently, during the operational process, it becomes imperative to contemplate how to achieve efficient benefit allocation to ensure the system’s sustainable development. This endeavor also represents a pivotal undertaking in China’s pursuit of its dual-carbon objectives. Therefore, this study endeavors to construct a model for benefit sharing within distributed energy systems, predicated on the distinctive attributes of various stakeholders, in order to facilitate the system’s sustainable progression. Primarily, from the vantage point of the power market and the conduct of system stakeholders, this research scrutinizes key factors that influence benefit allocation, encompassing risk level, profit contribution, and predictive elements. Subsequently, utilizing the CIRTIC anti-entropy weight method Cloud–Shapley methodology, a benefit allocation model is formulated for multiple stakeholders participating in the distributed energy systems market. Finally, the efficacy of the model is substantiated through the simulation and analysis of core stakeholders within the distributed energy system. Simulation results manifest the actual allocation benefits for micro-gas turbines, wind power, and photovoltaics, which amount to CNY 0.941 million, CNY 0.858 million, and CNY 0.881 million, respectively. Moreover, the impacts of risk level, profit contribution, and prediction vary in magnitude concerning the benefit distribution among distinct stakeholders. In future endeavors encompassing post-operational benefit sharing in regional distributed energy systems, it is indispensable to consider the varying influence of different factors on stakeholders, as well as the significance of stakeholders within the system.

Keywords: benefit distribution; cloud model; distributed energy system; electricity trading; Shapley (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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